Quality Engineering

Build quality into delivery, reduce risk and release with confidence

Talk to a quality engineering expert

Embed quality earlier across your requirements, design, development, testing and release.

Reduce rework, bottlenecks and production risk across your complex digital estates.

Make better release decisions using your connected evidence, insight and governance.

Engineer quality continuously, not just at the end

If you are working with faster release cycles, complex architectures, connected devices, cloud platforms, regulatory pressure and rising customer expectations, traditional testing cannot keep pace on its own. Quality needs to be designed, engineered and evidenced across your SDLC.

Resillion helps you move from reactive testing to continuous Quality Engineering. We combine shift-left practices, automation, Agile and DevOps integration, non-functional assurance, Quality Intelligence, AI-assisted engineering and global delivery capability to help you prevent defects earlier and release lower-risk software at speed.

Software engineer monitoring automated testing and development

What we offer

We specialise in key Quality Engineering services such as:

Quality Intelligence

Make better release decisions with real-time quality intelligence insights.

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Agile and DevOps

Improve software delivery performance with end-to-end Agile and DevOps expertise.

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Continuous testing

Assure every release with AI-assisted continuous testing and automation.

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Start where you are and scale continuous quality with control

Quality Engineering does not need a disruptive reset. We help you improve from your current maturity level, whether you need stronger foundations, better automation, continuous validation, AI assistance or a more connected Total Quality model.

BASELINE

You understand your quality maturity, test coverage, automation estate, bottlenecks, toolchain limits and release risks.

Outcome: A clear view of what is slowing your delivery and what to improve first.

MODERNISE

You embed shift-left practices, improve automation and align quality with Agile and DevOps workflows.

Outcome:Faster validation, fewer late defects and stronger collaboration across your teams.

SCALE

You connect quality, security, performance, compliance and release evidence through continuous QE, AI-assisted automation and Quality Intelligence.

Outcome: A scalable quality model that improves your confidence, coverage and resilience.

The ecosystem that turns Quality Engineering strategy into delivery

You can bring together the methods, accelerators and intelligence needed to turn QE strategy into delivery impact.

Benchmarks your maturity, bottlenecks, automation, governance and AI readiness.

Result: A clear baseline for your improvement priorities.

Connects your quality practices, tools, data and workflows across the SDLC.

Result: A scalable model for embedding quality into your delivery.

Connects your test, defect, automation, CI/CD and delivery data into insight.

Result: Clearer release decisions based on your evidence.

Robotic hand in lab representing AI-driven accessibility and usability testing services

Supports user stories, test design, test data, defect reporting and result analysis.

Result: Faster delivery support across your repeatable SDLC tasks.

Automation process and technology concept with business workflow visualization

Accelerates test creation, execution, maintenance and regression coverage.

Result: Higher coverage with less manual automation effort for your teams.

Warehouse worker scanning packages with AI-Powered Quality Engineering data display

Uses governed agents to support repeatable QE tasks with oversight.

Result: More consistent execution across your quality activities.

Technician assembling electronic components on a production line

Creates, manages and monitors agentic workflows with human control.

Result: Controlled scale for your AI-enabled quality operations.

CASE STUDY

Quality Engineering accelerating smart meter delivery for a UK energy provider

Challenge: A UK energy provider needed to improve smart meter testing across complex devices, changing regulations and tight delivery timelines. Manual testing was creating long cycles and delivery bottlenecks.

Approach: Resillion embedded Quality Engineering into delivery and introduced a scalable automated testing platform with continuous validation and parallel testing across real devices.

Result: Testing cycles fell from weeks to days, issues were identified earlier and the provider gained greater confidence in delivering smart energy services at scale.

Read more: Reducing smart meter testing time

User reviewing application performance and quality metrics

WHY US?

Why Resillion for Quality Engineering

Team collaborating on software development and testing

Quality built in from the start

You can embed quality across requirements, design, development, testing and release, helping your teams prevent defects earlier.

Developers and testers working on automation and test execution

End-to-end assurance coverage

You get functional, non-functional, cyber, compliance, accessibility, interoperability and UX assurance across your digital ecosystem.

Engineer overseeing server performance and operations

Faster feedback through automation and AI

You can combine engineering expertise, automation and AI assistance to increase coverage, reduce manual effort and speed up feedback.

Legal professional reviewing documents on tablet

63 %

of organisations ship code without completing all necessary testing

Developer working on software applications

100 x

Fixing issues after go live can cost up to 100× more than addressing them earlier in the lifecycle

Our experts

Conor Thomson

Expert in Quality Engineering and AI Practices

Conor is a Global Solution Architect with 12 years’ experience in Quality Engineering, QA, test automation, software delivery, AI engineering, and digital transformation.

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Explore

Find out more about our other Digital Assurance services:

Non-functional testing

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Functional testing

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Test Engineering Infrastructure

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Enterprise technology and business operations

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FAQ’s

Didn’t find the answer you were looking for? Our team is happy to help just reach out and we’ll get back to you soon.

How does Quality Engineering improve release speed and reliability?

Quality Engineering improves your release speed by embedding validation earlier, automating repeatable checks, aligning testing with delivery pipelines and giving your teams faster feedback. It improves reliability by connecting requirements, defects, test results, performance signals and release evidence so risks are identified before they reach production.

Is Quality Engineering different from traditional software testing?

Yes. Traditional testing often focuses on finding defects after development is complete. Quality Engineering is broader and more proactive. It helps you build quality into the full SDLC through shift-left practices, automation, engineering standards, continuous testing, quality data, governance and cross-team collaboration.

Will Resillion replace our existing tools?

Not necessarily. Resillion is tool-agnostic. We assess your current toolchain, keep what works and improve how tools, data, automation and workflows connect, so you can strengthen your quality operating model without unnecessary disruption.

How do you scale test automation without creating maintenance problems?

We start by prioritising your automation based on risk, value, stability and repeatability. We then design maintainable frameworks, integrate automation into CI/CD, improve test data and environment readiness, and use AI-assisted self-healing where appropriate to reduce maintenance effort.

Can Quality Engineering support Agile and DevOps delivery?

Yes. Resillion embeds Quality Engineering into your Agile squads, DevOps workflows and CI/CD pipelines. We support practices such as BDD, TDD, continuous testing, automated regression, quality gates and feedback loops so quality becomes part of your day-to-day delivery.

How does Quality Intelligence support better release decisions?

Quality Intelligence brings together data from your testing, automation, defects, environments, pipelines and delivery tools into a clearer view of risk and readiness. This helps your stakeholders make evidence-based decisions instead of relying on disconnected reports or manual status updates.

Can Resillion support large, complex or regulated programmes?

Yes. Resillion supports enterprise-scale Quality Engineering across industries such as energy, telecoms, financial services, media, public sector, healthcare and connected technology ecosystems. You can access global delivery capability, specialist testing expertise and audit-ready evidence where regulation or operational resilience matters.

How does AI fit into Quality Engineering?

AI can support your Quality Engineering by accelerating requirements analysis, test design, test generation, automation maintenance, defect triage and result analysis. Resillion uses AI to augment skilled quality professionals, improve coverage and increase speed while keeping expert oversight and governance in place.

ON-Demand WEBINAR

Supercharging AI assurance with Test Data Automation

Is your test data ready for scalable AI assurance under NIS2?

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Providing solutions in a unified, structured approach across all critical domains to enable end-to-end quality – Because we’re the only ones who can.

Quality Engineering

Engineer quality continuously, not just at the end